The study main purpose is to address the effectiveness of a computer-aided diagnosis (CADx) scheme developed to assist radiologists in evaluating nodules in digital mammography images. Unlike traditional CADe systems,...
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Enterprise systems are complex solutions to diverse needs of companies, but their extent does not typically span firm boundaries. Instead, there are different ways to handle inter-organizational IT requirements, inclu...
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This paper presents the development of a dedicated ground station optimized for LoRa satellite communication. The station is equipped with crucial components, including an antenna, transceiver, modem, RF amplifier, tr...
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Universities are increasingly integrating real-world projects into softwareengineering curricula to prepare students for careers involving complex concepts like Microservices Architecture (MSA). Students frequently s...
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Association rule mining is one of the most studied research fields of data mining, with applications ranging from grocery basket problems to explainable classification systems. Classical association rule mining algori...
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ISBN:
(纸本)9783031777301;9783031777318
Association rule mining is one of the most studied research fields of data mining, with applications ranging from grocery basket problems to explainable classification systems. Classical association rule mining algorithms have several limitations, especially with regards to their high execution times and number of rules produced. Over the past decade, neural network solutions have been used to solve various optimization problems, such as classification, regression or clustering. However there is still no efficient way to mine association rules using neural networks. In this paper, we present an auto-encoder solution to mine association rule called ARM-AE. We compare our algorithm to FP-Growth and NSGAII on three categorical datasets, and show that our algorithm discovers high support and confidence rule set and has a better execution time than classical methods while preserving the quality of the rule set produced.
When users apply for an account in the "Tianqing" system, they can only fill in a maximum of 3 IP addresses bound to the account, so the software developed based on "Tianqing" can only theoreticall...
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Estimating Worst-Case Execution Time (WCET) as a regression problem has become increasingly challenging due to the complexity of modern hardware and softwaresystems. Traditional statistical methods often fall short o...
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This paper aims to present an experimental study of structured crystals, which has been realized by the integrated use of software products for assessment and analysis of crystal lattices, as well as the building of t...
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The COVID-19 pandemic has had an unprecedented and widespread impact on education, significantly affecting students worldwide. Although many studies have investigated this impact in the last 5 years, we still lack emp...
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Context and Motivation: The increasing complexity of modern softwaresystems often challenges users’ abilities to interact with them. Taking established quality attributes such as usability and transparency into acco...
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